Subquadratic space complexity Gaussian normal basis multipliers over GF(2m) based on Dickson–Karatsuba decomposition PROJECT TITLE :Subquadratic space complexity Gaussian normal basis multipliers over GF(2m) based on Dickson–Karatsuba decompositionABSTRACT:Gaussian normal basis (GNB) of the even-type is popularly employed in elliptic curve cryptosystems. Efficient GNB multipliers might be realised by Toeplitz matrix-vector decomposition to understand subquadratic area complexity architectures. In this study, Dickson polynomial representation is proposed as another approach to represent an GNB of characteristic 2. The authors have derived a unique recursive Dickson-Karatsuba decomposition to attain a subquadratic space-complexity parallel GNB multiplier. By theoretical analysis, it's shown that the proposed subquadratic multiplier saves regarding fiftypercent bit-multiplications compared with the corresponding subquadratic GNB multiplication using Toeplitz matrix-vector product approach. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Dynamical Models of Stock Prices Based on Technical Trading Rules—Part III: Application to Hong Kong Stocks South America Land Use and Land Cover Assessment and Preliminary Analysis of Their Impacts on Regional Atmospheric Modeling Studies
